Estimation of Unemployment Duration in Botoşani County Using Survival Analysis

In this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, ag...

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Main Authors: Darabă Gabriel, Sandu Christiana Brigitte, Jaba Elisabeta
Format: Article
Language:English
Published: Ovidius University Press 2017-01-01
Series:Ovidius University Annals: Economic Sciences Series
Subjects:
Online Access:http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdf
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author Darabă Gabriel
Sandu Christiana Brigitte
Jaba Elisabeta
author_facet Darabă Gabriel
Sandu Christiana Brigitte
Jaba Elisabeta
author_sort Darabă Gabriel
collection DOAJ
description In this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, age, residential environment, etc. on the hazard rate of leaving unemploymentandKaplan-Meier estimator to compare survival probabilities among different categories ofunemployed persons. The study is carried out on a sample of 200 unemployment spellsregisteredwith the Employment Agency of Botoşani County from January 2012 to December 2015. Theresults reveal that place of residence, unemployment benefit and unemployed category have asignificant impact on unemployment spells.
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spelling doaj.art-2cb887a9bfb9454ba4a9ed6b5d42dccb2022-12-22T03:21:01ZengOvidius University PressOvidius University Annals: Economic Sciences Series2393-31272393-31272017-01-01XVII1155161Estimation of Unemployment Duration in Botoşani County Using Survival AnalysisDarabă Gabriel0Sandu Christiana Brigitte1Jaba Elisabeta2“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of IasiIn this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, age, residential environment, etc. on the hazard rate of leaving unemploymentandKaplan-Meier estimator to compare survival probabilities among different categories ofunemployed persons. The study is carried out on a sample of 200 unemployment spellsregisteredwith the Employment Agency of Botoşani County from January 2012 to December 2015. Theresults reveal that place of residence, unemployment benefit and unemployed category have asignificant impact on unemployment spells.http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdfunemployment spellsKaplan - Meier estimatorCox modelcensored datahazard rate
spellingShingle Darabă Gabriel
Sandu Christiana Brigitte
Jaba Elisabeta
Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
Ovidius University Annals: Economic Sciences Series
unemployment spells
Kaplan - Meier estimator
Cox model
censored data
hazard rate
title Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
title_full Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
title_fullStr Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
title_full_unstemmed Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
title_short Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
title_sort estimation of unemployment duration in botosani county using survival analysis
topic unemployment spells
Kaplan - Meier estimator
Cox model
censored data
hazard rate
url http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdf
work_keys_str_mv AT darabagabriel estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis
AT sanduchristianabrigitte estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis
AT jabaelisabeta estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis